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Title: Formulating dynamic agents’ operational state via situation awareness assessment
Authors: Mostafa, S.A. 
Sharifuddin Ahmad, M. 
Annamalai, M. 
Ahmad, A. 
Gunasekaran, S.S. 
Keywords: Autonomous agents
Issue Date: 2015
Journal: Advances in Intelligent Systems and Computing Volume 320, 2015, 20p 
Abstract: Managing autonomy in a dynamic interactive system that contains a mix of human and software agent intelligence is a challenging task. In such systems, giving an agent a complete control over its autonomy is a risky practice while manually setting the agent’s autonomy level is an inefficient approach. This paper addresses this issue via formulating a Situation Awareness Assessment (SAA) technique to assist in determining an appropriate agents’ operational state. We propose four operational states of agents’ execution cycles; proceed, halt, block and terminate, each of which is determined based on the agents’ performance. We apply the SAA technique in a proposed Layered Adjustable Autonomy (LAA) model. The LAA conceptualizes autonomy as a spectrum and is constructed in a layered structure. The SAA and the LAA notions are applicable to humans’ and agents’ collaborative environment. We provide an experimental scenario to test and validate the proposed notions in a real-time application. © Springer International Publishing Switzerland 2015.
DOI: 10.1007/978-3-319-11218-3_49
Appears in Collections:CSIT Scholarly Publication

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